Graphs and Networks: Key Concepts for VCE General Mathematics (Units 3 & 4)

Vertex, Edges and Graph Basics

  • Graphs are diagrams that illustrate connections and are useful for representing road maps, electrical circuits, train networks and many other scenarios.

  • Graphs contain vertices and edges.

  • A vertex (also called a node) is one of the dots in the diagram; it can be connected to other vertices by an edge or remain unconnected.

  • An isolated vertex is a vertex that is not connected to any other vertex.

  • An edge is a line in the diagram that connects vertices.

  • An edge can also connect a vertex to itself — this is called a loop.

Graph Types and Basic Terminology

  • Connected graph: A graph in which every vertex can be reached from any other vertex by following edges; the number of steps can be zero or more.

  • Complete graph: A graph where every pair of distinct vertices is connected by an edge.

  • Disconnected graph: A graph that contains at least one vertex that is not connected to any other vertex (i.e., not in the same connected component).

  • Simple graph: A graph that has no multiple edges between the same pair of vertices and no loops.

  • These classifications help determine properties such as communication routes, circuit redundancy, and network reliability.

Degree of a Vertex and Degree Sum

  • Degree of a vertex, denoted deg(v)\deg(v), is the number of edges incident to the vertex.

  • A loop contributes a value of 2 to the degree of the vertex (a loop is considered as twice attached to the vertex).

  • Degree sum (global property): the sum of the degrees of all vertices equals twice the number of edges, i.e.
    vVdeg(v)=2E.\sum_{v\in V} \deg(v) = 2|E|.

  • This fundamental relation underpins many graph results (e.g., handshaking lemma) and is useful for checking consistency of a diagram.

Bridges and Connectivity

  • Bridge: An edge whose removal would disconnect the graph (i.e., increase the number of connected components).

  • In graphs, some edges are bridges while others are part of cycles; identifying bridges helps assess network reliability and vulnerability.

  • In diagrams, bridges are often highlighted (e.g., red) to emphasize critical connections.

Planar Graphs and Faces

  • Planar graph: A graph that can be drawn on a 2D plane without any edges crossing, except at shared vertices.

  • A drawing on the plane partitions the plane into regions called faces.

  • When drawing planar graphs, the goal is to avoid edge crossings except at vertices, to maintain planarity.

Euler’s Formula for Planar Graphs

  • Euler’s rule applies to planar graphs that are connected: VE+F=2,V - E + F = 2, where:

    • VV = number of vertices,

    • EE = number of edges,

    • FF = number of faces.

  • This formula links three basic quantities and can be used to verify the consistency of a planar drawing.

  • Note: The formula as stated applies to connected planar graphs; it is the standard form used in these materials.

Isomorphism of Graphs

  • Isomorphic graphs: Graphs that appear different but have the same vertex-edge connections (i.e., an edge-vertex correspondence exists that preserves adjacency).

  • Subtleties arise depending on whether graphs are labelled or unlabelled.

  • In the VCE General Maths context, the emphasis is largely on isomorphisms of unlabelled graphs.

  • Key point: Isomorphic graphs represent the same structural network despite different drawings or vertex labels.

Directed Graphs (Digraphs)

  • Directed graphs (or digraphs) are formed when each edge has a single direction.

  • Direction is indicated by an arrowhead on the edge.

  • This adds orientation information to the connections, which is essential for modelling flows, prerequisites, or dependencies.

Worked Example (Euler’s Rule Verification)

  • Objective: Verify Euler’s rule for a given graph.

  • Steps generally involved:

    • Count the number of vertices VV.

    • Count the number of edges EE.

    • Count the number of faces FF in the planar drawing (including the outer, infinite face).

    • Check whether VE+F=2V - E + F = 2 holds (for a connected planar graph).

Planar Form Drawing

  • Task: Draw the graph in planar form (i.e., a planar embedding).

  • Steps: reposition vertices and route edges to avoid crossings; ensure that any crossing would instead be at a vertex if unavoidable.

  • Outcome: A planar representation where faces can be clearly counted and Euler’s formula can be applied.pts (Common Questions)

  • Terms to know:

    • Complete graph: every pair of distinct vertices is connected by a unique edge.

    • Connected graph: there is a path between every pair of vertices.

    • Simple graph: no loops and no multiple edges between the same pair of vertices.

    • Degenerate (often used in some questions): typically refers to a graph with minimal structure (context-dependent; may indicate trivial or edge-case situations).

  • Example type: Given a graph, determine which of the options (complete, connected, simple, degenerate) best describes it. Understanding the definitions helps classify graphs quickly.

Directed Graphs (MC Context)

  • Question format: Identify which graph among options is a directed graph (i.e., where all edges have a direction).

  • Key reminder: In a directed graph, edges must be depicted with arrows indicating direction.

Summary of Key Concepts (from the slides)

  • Graphs are diagrams with vertices and edges used to model connections.

  • A planar graph can be drawn without edge crossings; its drawing divides the plane into faces.

  • Faces are the regions into which a planar drawing partitions the plane.

  • Euler’s rule: VE+F=2V - E + F = 2 for connected planar graphs, linking vertices, edges, and faces.

  • Degree of a vertex: deg(v)\deg(v) is the number of edges incident to the vertex; a loop contributes 2 to the degree.

  • Degree sum formula: vVdeg(v)=2E.\sum_{v\in V} \deg(v) = 2|E|. This is a fundamental property of any graph.

  • Bridges are edges whose removal increases the number of connected components.

  • Planar graphs must be drawn to avoid edge crossings except at vertices.

  • Isomorphic graphs have the same vertex-edge structure; unlabelled isomorphisms are typically the focus in this course.

  • Directed graphs (digraphs) assign a direction to each edge, indicated by arrows.

  • After these topics, the course will introduce Adjacency Matrices as a next topic, followed by deeper treatment of Euler’s rule and related concepts.

What’s Coming Next (Context for Study)

  • Adjacency matrices: a matrix representation of a graph that encodes vertex-to-vertex connections.

  • Euler’s rule and Euler’s formula: deeper exploration and applications.

  • Degree sum concepts: practice with counting degrees and validating edge counts.

Short Notes on References and Authorship

  • Terminology and diagrams come from the Edrolo presentation by Michael Palmer (2023) for VCE General Mathematics Units 3 & 4, Chapter 8: Networks and Decision Mathematics.

  • The material covers foundational graph theory concepts relevant to networks, planar drawings, and directed graphs, with worked examples and practice questions.